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Statistical significance and p-values in study headline markets

Many event contracts on drug trials, scientific studies and policy experiments come down to one phrase: did the result reach statistical significance? A company may announce that a trial "met its primary endpoint," or a headline may say a study found a "significant" effect. This SoftCta guide explains what those words mean and what to check before reacting to a price.

What a p-value is

A p-value measures how surprising the data would be if there were truly no effect, under the assumptions of the statistical model. A p-value of 0.03 means that, if the treatment did nothing, results at least this extreme would appear about 3% of the time. It does not mean there is a 97% chance the treatment works. The American Statistical Association's 2016 statement stressed that p-values do not measure the probability that a hypothesis is true or the size of an effect.

The 0.05 convention

Many trials set a significance threshold of 0.05 before they start. A result below that is called statistically significant. The threshold is a convention, and some designs use stricter levels, especially when testing several hypotheses or running interim analyses. A contract that settles on "statistically significant" should name the endpoint and rely on the sponsor's prespecified threshold.

Primary versus secondary endpoints

The primary endpoint is the main question a trial is built to answer, recorded in a registry such as ClinicalTrials.gov before results are known. A trial can miss its primary endpoint and still report significant secondary results. Press releases sometimes lead with the positive secondary findings. A market on "meets primary endpoint" settles only on the primary. Our clinical trial readout guide covers how topline results are released.

Multiple comparisons

If a study tests many outcomes, some will look significant by chance. With 20 independent tests at the 0.05 level, about one false positive is expected even if nothing works. Well-designed trials control for this with a testing hierarchy or adjusted thresholds. Our spurious correlation guide explains the broader problem.

Significance versus size

A large trial can detect a tiny effect, while a small trial can miss a meaningful one. Confidence intervals show the range of plausible effects, as our confidence interval guide explains. Headlines may also report relative rather than absolute changes; see our relative versus absolute risk guide.

Replication

A single significant result is not the final word. Effects often shrink in later studies. Our replication guide covers how follow-up work changes the picture.

Wording checks

• Endpoint: primary, key secondary or any outcome.
• Threshold: the prespecified level, not a later reinterpretation.
• Source: company announcement, registry results or peer-reviewed paper.
• Timing: topline release versus full publication.

A reading habit

Find the registry entry and note the primary endpoint before a readout. Convert prices with the implied probability tool and verify live prices on the venue.

Primary sources SoftCta readers open

• Trial registries such as ClinicalTrials.gov for prespecified endpoints
• Company topline press releases and SEC filings
• Peer-reviewed publications and statistical analysis plans
• American Statistical Association statement on p-values (2016)

Reading the quote step by step

• Read the full title and rules, including the named settlement source and the time zone.
• Convert the Yes and No prices to implied probabilities and note the gap between them.
• Subtract fees and spread to see the effective price you would actually face.
• Write your own probability range and the evidence behind it, then compare.
• Check related and near-duplicate markets on other venues for consistency.

Closing SoftCta checklist

• Re-read the venue definition in your own words before reacting to a price.
• Convert prices with fee and spread awareness; verify live cents on the operator.
• Prefer primary settlement sources over secondary headlines and social summaries.
• Treat ChanceWire hubs, movers, and tools as orientation — not order entry.
• Confirm age, location, and product eligibility; SoftCta pages will not suggest location spoofing.
• If clarity is incomplete, watching is a complete SoftCta outcome — no pick-selling urgency required.

SoftCta habits

• Write your own probability range before checking the crowd price.
• Prefer dated primary sources over social summaries.
• Compare related markets when a single book looks extreme.
• Size curiosity with fees and depth in mind; substantial risk of loss.